make_rng_seeds

The number of RNG seeds to produce.

count

A logical specifying whether RNG seeds should be generated
or not. (<code>seed = NULL</code> corresponds to <code>seed = FALSE</code>).
If a list, then it should be of length <code>count</code> and each element should
consist of a valid RNG seed.

seed

If <code>TRUE</code>, debug output is produced, otherwise not.

debug

Produce Reproducible Seeds for Parallel Random Number Generation

internal

Implementations of apply(), by(), eapply(), lapply(), Map(), .mapply(), mapply(), replicate(), sapply(), tapply(), and vapply() that can be resolved using any future-supported backend, e.g. parallel on the local machine or distributed on a compute cluster.  These future_*apply() functions come with the same pros and cons as the corresponding base-R *apply() functions but with the additional feature of being able to be processed via the future framework.

Henrik Bengtsson

future.apply

Apply Function to Elements in Parallel using Futures

R Core Team 

make_rng_seeds function

<dl><dt>count</dt>
<dd>The number of RNG seeds to produce.</dd>
<dt>seed</dt>
<dd>A logical specifying whether RNG seeds should be generated
or not. (<code>seed = NULL</code> corresponds to <code>seed = FALSE</code>).
If a list, then it should be of length <code>count</code> and each element should
consist of a valid RNG seed.</dd>
<dt>debug</dt>
<dd>If <code>TRUE</code>, debug output is produced, otherwise not.</dd></dl>

Arguments

Produce Reproducible Seeds for Parallel Random Number Generation — make_rng_seeds

<dl>

<dt>count</dt>
<dd>The number of RNG seeds to produce.</dd>


<dt>seed</dt>
<dd>A logical specifying whether RNG seeds should be generated
or not. (<code>seed = NULL</code> corresponds to <code>seed = FALSE</code>).
If a list, then it should be of length <code>count</code> and each element should
consist of a valid RNG seed.</dd>


<dt>debug</dt>
<dd>If <code>TRUE</code>, debug output is produced, otherwise not.</dd>

</dl>

make_rng_seeds: Produce Reproducible Seeds for Parallel Random Number Generation

Description

Usage

Value

Arguments